Model Card for Model ID

Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

  • Developed by: Nirajan Dhakal
  • Model type: Text Generation
  • Language(s) (NLP): English
  • License: LLaMA 3 Community License

Running Inference:

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline

tokenizer = AutoTokenizer.from_pretrained("nirajandhakal/LLaMA3-Reasoning")
model = AutoModelForCausalLM.from_pretrained("nirajandhakal/LLaMA3-Reasoning")


pipe = pipeline("text-generation", model="nirajandhakal/LLaMA3-Reasoning", truncation=True)

# Define a prompt for the model
prompt = "What are the benefits of using artificial intelligence in healthcare?"

# Generate text based on the prompt
generated_text = pipe(prompt, max_length=200)

# Print the generated text
print(generated_text[0]['generated_text'])
Downloads last month
19
Safetensors
Model size
157M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for nirajandhakal/LLaMA3-Reasoning

Finetuned
(374)
this model
Quantizations
1 model